Data Engineer Resume Dulles, VA - Hire IT People

SUMMARY:

Data Scientist with strong Management background and 5+ years of experience using predictive modeling, data processing, and data mining skills to solve challenging business problems. Involved in Python open source community and passionate about deep reinforcement learning.
More than 5 years of experience dealing data with strong technical expertise, business experience, and communication skills to drive high - impact business outcomes through data-driven innovations and decisions.
Hands-on Experience with Statistical Analysis, Data Mining and Machine Learning Skills using R, Python and SQL.
Experience in problem solving, Data science, Machine learning, statistical inference, predictive analytics, descriptive analytics, prescriptive analytics, graph analysis, natural language processing, and computational linguistics; with extensive experience in predictive analytics and recommendation.
Familiar with several Big Data Technologies (Hadoop, Spark, Hive)
Having good knowledge of using XML and query APIs using JSON.
Strong knowledge of power BI.
Experience in AWS big data analysis and cloud-based marketing services
Proficient in SQL query and major Relational Database Systems, such as Oracle, MySQL.
Good familiarity in entire Data Science project life cycle, including Data Acquisition, Data Cleansing, Data Manipulation, Feature Engineering, Modeling, Evaluation, Optimization, Testing and Deployment. Experience in using version control software Git and JIRA.
Strong knowledge of Machine Learning and big data.
Familiar with data processing, model tuning, model ensemble, building pipeline and data visualization using NumPy, sci-kit learn, pandas, etc., in R, SAS and python,
Ability to learn quickly and adapt to change. High-execution, strong initiative and a positive attitude, can work efficiently as an individual as well as in a team.
Excellent written and verbal communication skills.
Good knowledge of HR payroll system blue force and Kronos
Certified to update HR system at company level
Ample experience to manage projects that involves many stake-holder including government, union, employees and community

TECHNICAL SKILLS:

Languages: Python, R, SAS, -SQL, MATLAB

Databases: SQL Server, MS-Access, big data, Hadoop

Microsoft: Power BI, Tableau, VBA, Excel

Intelligence Development: Studio (BIDS), Visual Studio, Crystal Reports.

EXPERIENCE:

Confidential, Dulles, VA

Data Engineer

Responsibilities:

Develop and deploy machine learning algorithms, predictive models, and classification methods
Researched statistical data to support cost control and care improvement initiatives
Participated in research planning and testing of data provisioning and analysis involving oracle databases and AWS
Ensure daily data collection, upload and made corrections on each data so that all stack-holder can access it to control revenue for client authority,
Used R and Python to prepare tables to present data or results
Interpreting data, analyzing results using statistical techniques
Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
Drew conclusions and made predictions based on data summaries or statistical analysis

Confidential, Dulles, VA

Data Analyst

Responsibilities:

Identify and document limitations in data quality that jeopardize the ability of internal and external data analysts
Creating complex SQL queries and scripts to extract and aggregate data to validate the accuracy of the data
Developed Database Triggers and Views, Stored Procedures and Functions
Experienced in Data mapping, Data transformation between sources to target data models.
Used SAS for data modeling and Data Migration
Performed data query, extraction, compilation and reporting tasks using SQL•
Extracted and analyzed data to identify the metrics
Data extraction through queries in SQL Server 2008, Excel, SAS
Able to create an environment for the end users to access data to make sure the revenue collected
Engaged in cross training to different team members to carry out different tasks for data collection and analysis
Designing the Reports as per client Requirement and created the reports using Excel file, SQL Server and Oracle databases

Project Manager

Confidential

Responsibilities:

Coordinate various projects with the focus to empower single moms and their children,
Working closely with donors, negotiate with government body and community representatives in each project cycles.

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Data Engineer Resume

Dulles, VA

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